Evidence map›Paper›PMID 23805237›Full record

SynthesisPloS one2013

Interleukin-10 -592C/A, -819C/T and -1082A/G Polymorphisms with Risk of Type 2 Diabetes Mellitus: A HuGE Review and Meta-analysis.

Yanyin Hua, Jie Shen, Yingxiang Song, Yubo Xing, Xiao Ye

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The Beneficial Effects ofAdvanced pharmaceutical bulletin · 2021
    Article
  4. Article
  5. Article
  6. Immunologic impact of the intestine in metabolic disease.The Journal of clinical investigation · 2017
    Review
  7. Article
  8. Polymorphisms of interleukin-10 genes on the risk of ischemic stroke in a meta-analysis.International journal of clinical and experimental medicine · 2015
    Article
  9. Review
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yanyin HuaDepartment of Endocrinology, Zhejiang Provincial People's Hospital, Hangzhou, China.
Jie Shen
Yingxiang Song
Yubo Xing
Xiao Ye

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have been conducted in recent years to evaluate the risk of type 2 diabetes mellitus (T2DM) and polymorphisms of interleukin (IL)-10. However, the results remain conflicting rather than conclusive. This meta-analysis aimed to summarize the current evidence from case-control studies that evaluated this association.

methodsWe carried out a search in Medline, EMBASE, and the Chinese National Knowledge Infrastructure (CNKI) database for relevant studies. Data were extracted using a standardized form and pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the strength of the association.

results10 studies were included in our meta-analysis and systemic review. Our meta-analysis indicated that IL-10 -1082A/G polymorphism was associated with the risk of T2DM (GA vs. AA: OR = 1.21, 95% CI = 1.03-1.14; GA/GG vs. AA: OR = 1.22, 95% CI = 1.05-1.41), whereas there was no association between IL-10 -592C/A (CC/CA vs. AA: OR = 1.07, 95% CI = 0.59-1.93) or -819C/T (CC/CT vs. TT: OR = 0.93, 95% CI = 0.49-1.75) polymorphism and T2DM risk was found in our study.

conclusionsThis meta-analysis provides strong evidence that IL-10 -1082A/G polymorphism associated with risk of T2DM. However, no association of the IL-10 -592C/A or -819C/T polymorphism with T2DM risk was found. Additional well-designed large studies were required for the validation of our results.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticDiabetes Mellitus, Type 2FemaleHumansInterleukin-10MaleRisk FactorsIL10 protein, humanInterleukin-10

Identifiers

PMID23805237
PMCPMC3689758

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.